A comprehensive review on crop disease prediction based on machine learning and deep learning techniques

MA Patil, M Manohar - Congress on Intelligent Systems, 2022 - Springer
Leaf diseases cause direct crop losses in agriculture, and farmers cannot detect the disease
early. If the diseases are not detected early and correctly, the farmer must undergo huge …

Identification of foliar disease regions on corn leaves using SLIC segmentation and deep learning under uniform background and field conditions

H Phan, A Ahmad, D Saraswat - IEEE Access, 2022 - ieeexplore.ieee.org
Plant diseases lead to severe losses in crop yield worldwide. The conventional approach for
diagnosing diseases relies on manual scouting. In recent years, advances in convolutional …

LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated Genetic Loci

E Chedid, K Avia, V Dumas, L Ley, N Reibel… - Plant …, 2023 - spj.science.org
The strong societal demand to reduce pesticide use and adaptation to climate change
challenges the capacities of phenotyping new varieties in the vineyard. High-throughput …

Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

I Hernández, S Gutiérrez, S Ceballos, F Palacios… - 2022 - digital.csic.es
Downy mildew is a major disease of grapevine. Conventional methods for assessing crop
diseases are time-consuming and require trained personnel. This work aimed to develop …

RepYOLO-T: A RepNet-style One-stage Network for Grapevine Leafroll Disease Detection

Y Liu, X Jiang, Z Zheng, D Liu, B Su… - 2024 ASABE Annual …, 2024 - elibrary.asabe.org
Grape leafroll disease (GLD) seriously affects grape yield and quality. Thus, high throughput
GLD detection is urgently needed for vineyard maintenance. Existing hyperspectral imaging …

DEEP LEARNING-BASED COMPUTER VISION FOR DISEASE IDENTIFICATION AND MONITORING IN CORN

A Ahmad - 2023 - hammer.purdue.edu
Efficient management of plant diseases and their spread within fields requires a system
capable of early and accurate disease identification and its severity estimation. Many plant …

[PDF][PDF] REAL TIME CORN LEAF DISEASE DETECTION USING CONVOLUTION NEURAL NETWORK.

K Sonti, M Thamarai… - ICTACT Journal on Image …, 2022 - researchgate.net
Agriculture is the primary resource of livelihood, and the economy of our country highly
depends on agricultural productivity. For this reason, plant disease detection places a vital …